11 days ago

Assistant Skills Data Analyst

Transport for London

On Site
Full Time
£25,500
London, England, United Kingdom

Job Overview

Job TitleAssistant Skills Data Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary£25,500
LocationLondon, England, United Kingdom

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Job Description

Assistant Skills Data Analyst at Transport for London

The Assistant Skills Data Analyst in the Operations Training and Skills Development (OTSD) team will support in ensuring the integrity and accuracy of data that informs critical insights into the delivery of safety-critical training for Transport for London operational teams. This role is integral to supporting data-driven decisions and planning, enhancing training effectiveness, and ensuring compliance with key performance indicators (KPIs).

Key Responsibilities

  • Produce data related to safety-critical training programs that is accurate, consistent, and reliable to support informed decision-making and compliance with regulatory standards.
  • Coordinate data requirements by engaging with the OTSD team, operational teams, and senior management to clearly understand and document data requirements, enabling alignment with organisational goals.
  • Provide assistance in maintaining data integrity by conducting regular audits and validation processes to identify and resolve data discrepancies, ensuring high data integrity and trustworthiness.
  • Provide support in maintaining and enhancing databases and systems for tracking and reporting training performance, ensuring they are efficient and user-friendly.
  • Produce clear, accurate, and actionable reports on training outcomes based on predefined formats and guidelines, enabling informed decision-making.
  • Identify data patterns and contribute observations that support improvements to training delivery and operational outcomes.
  • Track and report on KPIs related to training programs, ensuring alignment with organisational standards and highlighting areas for potential enhancement.
  • Provide user support by explaining reports and data outputs to stakeholders, ensuring clarity and effective utilisation of information.
  • Assist with system improvements by supporting IT and data teams in maintaining and enhancing tools to meet current business requirements.
  • Participate in process improvement activities by identifying routine issues and proposing updates to standard procedures and workflows.

Skills, Knowledge and Experience

Skills
  • Understanding of data analysis tools and software, including Excel, Power BI, or similar platforms.
  • Analytical and problem-solving skills, with attention to detail and accuracy.
  • Ability to manage multiple tasks and projects within tight deadlines.
  • Accurately follow processes and procedures.
Knowledge
  • Understanding of data analysis principles, particularly in safety-critical or operational contexts.
  • Familiarity with Transport for London’s operational and training frameworks (desirable).
  • Understanding of data governance, security, and compliance best practices.
  • Microsoft Excel: knowledge in using formulas for data analysis and pivot tables.
  • Understanding of TfL's governance arrangements.
Experience
  • Experience of maintaining KPI dashboards.
  • Track record of working with large datasets and ensuring data accuracy.
  • Demonstrated ability to collaborate with diverse teams and stakeholders.

Equality and Diversity

We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria. We also use anonymising software that removes identifying information from CVs and cover letters to make the process fair.

Benefits

In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the level of role but mostly include the below:

  • Final salary pension scheme
  • Free travel for you on the TfL network
  • Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home or 75% reimbursement on a 28-day flexi ticket
  • 30 days annual leave plus public and bank holidays
  • TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow
  • Private healthcare discounted scheme (optional)
  • Tax-efficient cycle-to-work programme
  • Retail, health, leisure and travel offers
  • Discounted Eurostar travel

Application Process

Think carefully about the skills, knowledge and experience in the advert and cover this in your CV and cover letter. PDF format preferred and do not include any photographs or images.

Key skills/competency

  • Data Integrity
  • Data Accuracy
  • Reporting
  • KPI Tracking
  • Data Validation
  • Data Analysis
  • Stakeholder Engagement
  • System Support
  • Process Improvement
  • Microsoft Excel

Tags:

Assistant Data Analyst
data integrity
reporting
KPI tracking
data validation
stakeholder engagement
system support
process improvement
data patterns
decision-making
compliance
Excel
Power BI
databases
data analysis tools
Microsoft Excel
data governance
data security
data compliance
reporting systems
analytical software

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How to Get Hired at Transport for London

  • Research Transport for London's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for data roles: Customize your CV to highlight experience with data analysis, Excel, Power BI, and data integrity specific to Transport for London.
  • Showcase relevant project experience: Prepare examples of how you've maintained KPI dashboards or worked with large datasets.
  • Understand TfL's operational context: Familiarize yourself with Transport for London's frameworks and governance for safety-critical environments.
  • Prepare for a hybrid interview: Be ready to discuss analytical skills and data governance best practices, demonstrating attention to detail.

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